AI in Insurance.
The Real Question Is “So What?”
AI is everywhere in insurance. Every vendor claims to use it. Every conference panel talks about it. Every roadmap includes it. But the real question is not whether a technology uses AI.
The real question is simple. So what?
Recently, Andrew Yeoman joined The Reinsurance Podcast to discuss how AI is beginning to reshape underwriting, risk transfer and insurance operations.
One point stood out. Technology only becomes valuable when the outcome is clear. This is where an AI underwriting platform begins to shift how those outcomes are delivered, bringing speed and certainty into the same decision.
From “Interesting” to “Compelling”
In the early years of insurtech, many innovations fell into the same category.
Interesting.
As Andy described in the conversation, being told something is “interesting” often means something very different in practice. It usually means: You can come back and present again. It does not necessarily mean someone will buy it. That insight led to a shift in thinking at Concirrus.
Instead of building technology that was interesting, the focus became building technology that is compelling. Something that makes insurers point to the screen and say: If we do not have that, we cannot compete.
The “So What” of AI Today many vendors describe themselves simply as “AI companies”.
But that description alone does not explain anything. As Andy explained in the podcast: If someone says they are an AI vendor in insurance, the reaction is usually:
“That’s interesting.” Which often means neither side really understands the value yet. The real explanation must focus on outcomes.
- Not inputs.
- Not features.
- Not technology.
But outcomes.
For example: We help insurers write more business, more profitably, in less time. That is a meaningful outcome.
The Speed vs Certainty Dilemma Insurance has always faced a difficult operational balance.
Underwriters need to move quickly to respond to brokers and clients. But underwriting decisions also require analysis, compliance checks and portfolio context.
Moving quickly often means sacrificing certainty. Taking time improves certainty but slows down the process. This creates a constant trade off between speed and certainty. Historically, the only way to gain confidence in a decision was to run through multiple manual processes.
- Compliance checks.
- Sanctions screening.
- Portfolio review.
- Internal approvals.
Each step added time.
When Technology Removes the Trade-Off What changes when technology can perform those checks almost instantly?
Instead of taking hours or days to gather the information needed to evaluate a risk, modern AI driven systems can process that information in seconds.
As Andy explained, technology can now run the required checks in around 90 seconds rather than 48 hours.
This changes the equation.
Underwriters no longer need to choose between speed and certainty.
They can have both.
And that creates a very different operating model for underwriting teams.
Better Decisions. Not Just Faster Ones. Faster technology does not automatically create better underwriting.
The real value appears when the time saved is reinvested in better decision making. Instead of acting as data entry operators, underwriters can focus on what they were trained to do.
- Assess risk.
- Structure deals.
- Think about portfolio impact.
- Negotiate with brokers.
In other words, technology allows underwriters to spend more time being underwriters.
The Beginning of a Much Bigger Shift AI is still at an early stage in insurance.
Some organisations are ignoring it. Others are experimenting with it. The real transformation will come from companies whose entire business models depend on it.
Andy refers to these as “but for” companies. Businesses that only exist because the technology exists.
Just as digital banks only exist because of the internet, a new generation of insurance businesses may emerge that only function because AI can process risk in real time. When those companies appear, the industry could change quickly.
